African swine fever (ASF) continues to pose a major threat to pig production in Vietnam, highlighting the critical role of farm-level biosecurity. This study aimed to evaluate the biosecurity status of large-scale commercial pig fattening farms in Central Vietnam using a standardised digital assessment tool. A cross-sectional survey was conducted on five commercial pig farms (≥300 livestock units) using the Food & Agriculture Organisation’s framework based PigHealth Security-X software, which comprises 165 questions grouped into eight biosecurity vectors. Biosecurity performance was quantified on a scale from 0 to 100%. Overall, all surveyed farms were classified as having an excellent level of biosecurity, with a mean score of 91.3%. Nevertheless, three vectors showed comparatively lower scores: Good husbandry practices (83.4%), transportation (85.0%), and structural location (85.6%). Major non-compliant indicators included high stocking density, frequent entry of external vehicles, insufficient vehicle disinfection time, and the absence of off-site disinfection facilities. These findings indicated that despite high overall biosecurity scores, specific operational weaknesses that may increase the risk of pathogen introduction and spread remained. Regular biosecurity assessments using digital tools such as PigHealth Security-X can support farm managers in identifying critical control points and implementing targeted improvements to strengthen disease prevention and control in commercial pig production systems.

In the context of globalisation and digital transformation in higher education, enhancing English for Specific Purposes (ESP) skills among students in agricultural sciences, particularly in Animal Science and Veterinary Medicine, has become increasingly essential. However, the absence of specialised and contextually relevant learning tools poses a significant barrier to accessing international academic resources. This paper presents the development process, technical features, and application potential of the Animal Science and Veterinary Medicine (ASVM) Dictionary, a bilingual digital glossary designed and implemented by a research team at Can Tho University. With over 10,000 English–Vietnamese terms, including pronunciation, illustrative images, and real-time search functionality, the ASVM Dictionary not only facilitates accurate terminology acquisition but also promotes self-directed learning and digital engagement. Results indicate that there were more than 80,000 website visits and 2,000 app downloads, reflecting high practical interest and adoption. The paper also compares the ASVM Dictionary with traditional reference materials, analyses its integration into current ESP curricula, and proposes future development directions, such as incorporating artificial intelligence and expanding interdisciplinary applications.